Introduction to Machine Learning with Azure

In this lesson, we'll give you a high-level introduction to the field of machine learning. In the process, you will also train your first machine learning model using Azure Machine Learning Studio.

This lesson is about how to prepare data and then transform it into trained machine learning models. This lesson will also introduce you to ensemble learning and automated machine learning.

This lesson covers two of Machine Learning's fundamental approaches: supervised and unsupervised learning. We'll learn about classification, regression, clustering, representation learning, and more.

In this lesson we'll look at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection.

In this lesson you'll learn how to enhance your ML processes with managed services. We'll discuss computing resources, the modeling process, automation via pipelines, and more.

This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others.

Congratulations on completing the course! In this short lesson, we'll recap what you've learned and talk briefly about the future of Machine Learning.